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Events
Date of Event: June 24, 2021
June 14, 2021
Your structured clinical trial data is an increasingly valuable resource that benefits new analytics, research, and innovation. With the pressure being put on pharma to collaborate and share trial data, your organization wants to step up and contribute, but patient-level data contains large amounts of sensitive information, regulators and the public need to see that privacy is protected, and protecting privacy often means losing data utility. Fortunately, Privacy Analytics can help you overcome each of these challenges.
Events
Date of Event: June 10, 2021
May 26, 2021
If you want to safely leverage the increasing value of your sensitive data by implementing data anonymization at scale, you’re likely facing one (or all) of these critical challenges: managing high volumes, varied requests, and short turnaround times; finding people with the skills needed to achieve high data utility; and adopting a defensible, standardized approach to anonymization. Fortunately, software can help you overcome each of these challenges.
Events
Date of Event: May 19, 2021
May 6, 2021
This virtual, 90-minute meeting of the minds is not “just another” webinar. It is a dynamic, interactive deep dive into what’s worked and what hasn’t when it comes to Internal data access (e.g. bridging department silos for improved data access); External data sharing (e.g. providing strategic partners with insight-rich data for vital research).
Webinars
Date of Webinar: April 22, 2021
April 27, 2021
Now more than ever, the eyes of the world are on sponsors to collaborate, sharing their clinical trial data to combat human health emergencies….
Case Studies
April 21, 2021
In 2017, IQVIA created the European Oncology Evidence Network (OEN) in partnership with a group of leading oncology hospitals. The mandate of OEN is...
Events
Date of Event: April 29, 2021
April 16, 2021
In this brief webinar, Niamh McGuinness, Senior CTT Analyst, will be showcasing Privacy Analytics’ new service offer for clinical trial data anonymization. It enables you to quickly apply our proven statistical method to your structured individual patient data (S-IPD), without having to commit for the long term.